Package com.google.cloud.optimization.v1 (1.9.0)

A client to Cloud Optimization API

The interfaces provided are listed below, along with usage samples.

FleetRoutingClient

Service Description: A service for optimizing vehicle tours.

Validity of certain types of fields:

* google.protobuf.Timestamp * Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00. * seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00]. * nanos must be unset or set to 0. * google.protobuf.Duration * seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00]. * nanos must be unset or set to 0. * google.type.LatLng * latitude must be in [-90.0, 90.0]. * longitude must be in [-180.0, 180.0]. * at least one of latitude and longitude must be non-zero.

Sample for FleetRoutingClient:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (FleetRoutingClient fleetRoutingClient = FleetRoutingClient.create()) {
   OptimizeToursRequest request =
       OptimizeToursRequest.newBuilder()
           .setParent("parent-995424086")
           .setTimeout(Duration.newBuilder().build())
           .setModel(ShipmentModel.newBuilder().build())
           .setMaxValidationErrors(-1367418922)
           .addAllInjectedFirstSolutionRoutes(new ArrayList<ShipmentRoute>())
           .setInjectedSolutionConstraint(InjectedSolutionConstraint.newBuilder().build())
           .addAllRefreshDetailsRoutes(new ArrayList<ShipmentRoute>())
           .setInterpretInjectedSolutionsUsingLabels(true)
           .setConsiderRoadTraffic(true)
           .setPopulatePolylines(true)
           .setPopulateTransitionPolylines(true)
           .setAllowLargeDeadlineDespiteInterruptionRisk(true)
           .setUseGeodesicDistances(true)
           .setGeodesicMetersPerSecond(-2129658905)
           .setLabel("label102727412")
           .setPopulateTravelStepPolylines(true)
           .build();
   OptimizeToursResponse response = fleetRoutingClient.optimizeTours(request);
 }

Classes

AggregatedMetrics

Aggregated metrics for ShipmentRoute (resp. for OptimizeToursResponse over all Transition and/or Visit (resp. over all ShipmentRoute) elements.

Protobuf type google.cloud.optimization.v1.AggregatedMetrics

AggregatedMetrics.Builder

Aggregated metrics for ShipmentRoute (resp. for OptimizeToursResponse over all Transition and/or Visit (resp. over all ShipmentRoute) elements.

Protobuf type google.cloud.optimization.v1.AggregatedMetrics

AsyncModelMetadata

The long running operation metadata for async model related methods.

Protobuf type google.cloud.optimization.v1.AsyncModelMetadata

AsyncModelMetadata.Builder

The long running operation metadata for async model related methods.

Protobuf type google.cloud.optimization.v1.AsyncModelMetadata

AsyncModelProto

BatchOptimizeToursRequest

Request to batch optimize tours as an asynchronous operation. Each input file should contain one OptimizeToursRequest, and each output file will contain one OptimizeToursResponse. The request contains information to read/write and parse the files. All the input and output files should be under the same project.

Protobuf type google.cloud.optimization.v1.BatchOptimizeToursRequest

BatchOptimizeToursRequest.AsyncModelConfig

Information for solving one optimization model asynchronously.

Protobuf type google.cloud.optimization.v1.BatchOptimizeToursRequest.AsyncModelConfig

BatchOptimizeToursRequest.AsyncModelConfig.Builder

Information for solving one optimization model asynchronously.

Protobuf type google.cloud.optimization.v1.BatchOptimizeToursRequest.AsyncModelConfig

BatchOptimizeToursRequest.Builder

Request to batch optimize tours as an asynchronous operation. Each input file should contain one OptimizeToursRequest, and each output file will contain one OptimizeToursResponse. The request contains information to read/write and parse the files. All the input and output files should be under the same project.

Protobuf type google.cloud.optimization.v1.BatchOptimizeToursRequest

BatchOptimizeToursResponse

Response to a BatchOptimizeToursRequest. This is returned in the LRO Operation after the operation is complete.

Protobuf type google.cloud.optimization.v1.BatchOptimizeToursResponse

BatchOptimizeToursResponse.Builder

Response to a BatchOptimizeToursRequest. This is returned in the LRO Operation after the operation is complete.

Protobuf type google.cloud.optimization.v1.BatchOptimizeToursResponse

BreakRule

Rules to generate time breaks for a vehicle (e.g. lunch breaks). A break is a contiguous period of time during which the vehicle remains idle at its current position and cannot perform any visit. A break may occur:

  • during the travel between two visits (which includes the time right before or right after a visit, but not in the middle of a visit), in which case it extends the corresponding transit time between the visits,
  • or before the vehicle start (the vehicle may not start in the middle of a break), in which case it does not affect the vehicle start time.
  • or after the vehicle end (ditto, with the vehicle end time).

Protobuf type google.cloud.optimization.v1.BreakRule

BreakRule.BreakRequest

The sequence of breaks (i.e. their number and order) that apply to each vehicle must be known beforehand. The repeated BreakRequests define that sequence, in the order in which they must occur. Their time windows (earliest_start_time / latest_start_time) may overlap, but they must be compatible with the order (this is checked).

Protobuf type google.cloud.optimization.v1.BreakRule.BreakRequest

BreakRule.BreakRequest.Builder

The sequence of breaks (i.e. their number and order) that apply to each vehicle must be known beforehand. The repeated BreakRequests define that sequence, in the order in which they must occur. Their time windows (earliest_start_time / latest_start_time) may overlap, but they must be compatible with the order (this is checked).

Protobuf type google.cloud.optimization.v1.BreakRule.BreakRequest

BreakRule.Builder

Rules to generate time breaks for a vehicle (e.g. lunch breaks). A break is a contiguous period of time during which the vehicle remains idle at its current position and cannot perform any visit. A break may occur:

  • during the travel between two visits (which includes the time right before or right after a visit, but not in the middle of a visit), in which case it extends the corresponding transit time between the visits,
  • or before the vehicle start (the vehicle may not start in the middle of a break), in which case it does not affect the vehicle start time.
  • or after the vehicle end (ditto, with the vehicle end time).

Protobuf type google.cloud.optimization.v1.BreakRule

BreakRule.FrequencyConstraint

One may further constrain the frequency and duration of the breaks specified above, by enforcing a minimum break frequency, such as "There must be a break of at least 1 hour every 12 hours". Assuming that this can be interpreted as "Within any sliding time window of 12h, there must be at least one break of at least one hour", that example would translate to the following FrequencyConstraint: <code><code> { min_break_duration { seconds: 3600 } # 1 hour. max_inter_break_duration { seconds: 39600 } # 11 hours (12 - 1 = 11). } </code></code><code> The timing and duration of the breaks in the solution will respect all such constraints, in addition to the time windows and minimum durations already specified in the </code>BreakRequest<code>. A </code>FrequencyConstraint<code> may in practice apply to non-consecutive breaks. For example, the following schedule honors the "1h every 12h" example: </code><code><code> 04:00 vehicle start .. performing travel and visits .. 09:00 1 hour break 10:00 end of the break .. performing travel and visits .. 12:00 20-min lunch break 12:20 end of the break .. performing travel and visits .. 21:00 1 hour break 22:00 end of the break .. performing travel and visits .. 23:59 vehicle end </code></code>

Protobuf type google.cloud.optimization.v1.BreakRule.FrequencyConstraint

BreakRule.FrequencyConstraint.Builder

One may further constrain the frequency and duration of the breaks specified above, by enforcing a minimum break frequency, such as "There must be a break of at least 1 hour every 12 hours". Assuming that this can be interpreted as "Within any sliding time window of 12h, there must be at least one break of at least one hour", that example would translate to the following FrequencyConstraint: <code><code> { min_break_duration { seconds: 3600 } # 1 hour. max_inter_break_duration { seconds: 39600 } # 11 hours (12 - 1 = 11). } </code></code><code> The timing and duration of the breaks in the solution will respect all such constraints, in addition to the time windows and minimum durations already specified in the </code>BreakRequest<code>. A </code>FrequencyConstraint<code> may in practice apply to non-consecutive breaks. For example, the following schedule honors the "1h every 12h" example: </code><code><code> 04:00 vehicle start .. performing travel and visits .. 09:00 1 hour break 10:00 end of the break .. performing travel and visits .. 12:00 20-min lunch break 12:20 end of the break .. performing travel and visits .. 21:00 1 hour break 22:00 end of the break .. performing travel and visits .. 23:59 vehicle end </code></code>

Protobuf type google.cloud.optimization.v1.BreakRule.FrequencyConstraint

CapacityQuantity

Deprecated: Use Vehicle.LoadLimit.Interval instead.

Protobuf type google.cloud.optimization.v1.CapacityQuantity

CapacityQuantity.Builder

Deprecated: Use Vehicle.LoadLimit.Interval instead.

Protobuf type google.cloud.optimization.v1.CapacityQuantity

CapacityQuantityInterval

Deprecated: Use Vehicle.LoadLimit.Interval instead.

Protobuf type google.cloud.optimization.v1.CapacityQuantityInterval

CapacityQuantityInterval.Builder

Deprecated: Use Vehicle.LoadLimit.Interval instead.

Protobuf type google.cloud.optimization.v1.CapacityQuantityInterval

DistanceLimit

A limit defining a maximum distance which can be traveled. It can be either hard or soft. If a soft limit is defined, both soft_max_meters and cost_per_kilometer_above_soft_max must be defined and be nonnegative.

Protobuf type google.cloud.optimization.v1.DistanceLimit

DistanceLimit.Builder

A limit defining a maximum distance which can be traveled. It can be either hard or soft. If a soft limit is defined, both soft_max_meters and cost_per_kilometer_above_soft_max must be defined and be nonnegative.

Protobuf type google.cloud.optimization.v1.DistanceLimit

FleetRoutingClient

Service Description: A service for optimizing vehicle tours.

Validity of certain types of fields:

* google.protobuf.Timestamp * Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00. * seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00]. * nanos must be unset or set to 0. * google.protobuf.Duration * seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00]. * nanos must be unset or set to 0. * google.type.LatLng * latitude must be in [-90.0, 90.0]. * longitude must be in [-180.0, 180.0]. * at least one of latitude and longitude must be non-zero.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (FleetRoutingClient fleetRoutingClient = FleetRoutingClient.create()) {
   OptimizeToursRequest request =
       OptimizeToursRequest.newBuilder()
           .setParent("parent-995424086")
           .setTimeout(Duration.newBuilder().build())
           .setModel(ShipmentModel.newBuilder().build())
           .setMaxValidationErrors(-1367418922)
           .addAllInjectedFirstSolutionRoutes(new ArrayList<ShipmentRoute>())
           .setInjectedSolutionConstraint(InjectedSolutionConstraint.newBuilder().build())
           .addAllRefreshDetailsRoutes(new ArrayList<ShipmentRoute>())
           .setInterpretInjectedSolutionsUsingLabels(true)
           .setConsiderRoadTraffic(true)
           .setPopulatePolylines(true)
           .setPopulateTransitionPolylines(true)
           .setAllowLargeDeadlineDespiteInterruptionRisk(true)
           .setUseGeodesicDistances(true)
           .setGeodesicMetersPerSecond(-2129658905)
           .setLabel("label102727412")
           .setPopulateTravelStepPolylines(true)
           .build();
   OptimizeToursResponse response = fleetRoutingClient.optimizeTours(request);
 }

Note: close() needs to be called on the FleetRoutingClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().

The surface of this class includes several types of Java methods for each of the API's methods:

  1. A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
  2. A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
  3. A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.

See the individual methods for example code.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.

This class can be customized by passing in a custom instance of FleetRoutingSettings to create(). For example:

To customize credentials:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 FleetRoutingSettings fleetRoutingSettings =
     FleetRoutingSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 FleetRoutingClient fleetRoutingClient = FleetRoutingClient.create(fleetRoutingSettings);

To customize the endpoint:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 FleetRoutingSettings fleetRoutingSettings =
     FleetRoutingSettings.newBuilder().setEndpoint(myEndpoint).build();
 FleetRoutingClient fleetRoutingClient = FleetRoutingClient.create(fleetRoutingSettings);

To use REST (HTTP1.1/JSON) transport (instead of gRPC) for sending and receiving requests over the wire:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 FleetRoutingSettings fleetRoutingSettings = FleetRoutingSettings.newHttpJsonBuilder().build();
 FleetRoutingClient fleetRoutingClient = FleetRoutingClient.create(fleetRoutingSettings);

Please refer to the GitHub repository's samples for more quickstart code snippets.

FleetRoutingGrpc

A service for optimizing vehicle tours. Validity of certain types of fields:

  • google.protobuf.Timestamp
    • Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00.
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.protobuf.Duration
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.type.LatLng
    • latitude must be in [-90.0, 90.0].
    • longitude must be in [-180.0, 180.0].
    • at least one of latitude and longitude must be non-zero.

FleetRoutingGrpc.FleetRoutingBlockingStub

A service for optimizing vehicle tours. Validity of certain types of fields:

  • google.protobuf.Timestamp
    • Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00.
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.protobuf.Duration
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.type.LatLng
    • latitude must be in [-90.0, 90.0].
    • longitude must be in [-180.0, 180.0].
    • at least one of latitude and longitude must be non-zero.

FleetRoutingGrpc.FleetRoutingFutureStub

A service for optimizing vehicle tours. Validity of certain types of fields:

  • google.protobuf.Timestamp
    • Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00.
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.protobuf.Duration
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.type.LatLng
    • latitude must be in [-90.0, 90.0].
    • longitude must be in [-180.0, 180.0].
    • at least one of latitude and longitude must be non-zero.

FleetRoutingGrpc.FleetRoutingImplBase

A service for optimizing vehicle tours. Validity of certain types of fields:

  • google.protobuf.Timestamp
    • Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00.
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.protobuf.Duration
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.type.LatLng
    • latitude must be in [-90.0, 90.0].
    • longitude must be in [-180.0, 180.0].
    • at least one of latitude and longitude must be non-zero.

FleetRoutingGrpc.FleetRoutingStub

A service for optimizing vehicle tours. Validity of certain types of fields:

  • google.protobuf.Timestamp
    • Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00.
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.protobuf.Duration
    • seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
    • nanos must be unset or set to 0.
  • google.type.LatLng
    • latitude must be in [-90.0, 90.0].
    • longitude must be in [-180.0, 180.0].
    • at least one of latitude and longitude must be non-zero.

FleetRoutingProto

FleetRoutingSettings

Settings class to configure an instance of FleetRoutingClient.

The default instance has everything set to sensible defaults:

  • The default service address (cloudoptimization.googleapis.com) and default port (443) are used.
  • Credentials are acquired automatically through Application Default Credentials.
  • Retries are configured for idempotent methods but not for non-idempotent methods.

The builder of this class is recursive, so contained classes are themselves builders. When build() is called, the tree of builders is called to create the complete settings object.

For example, to set the total timeout of optimizeTours to 30 seconds:


 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 FleetRoutingSettings.Builder fleetRoutingSettingsBuilder = FleetRoutingSettings.newBuilder();
 fleetRoutingSettingsBuilder
     .optimizeToursSettings()
     .setRetrySettings(
         fleetRoutingSettingsBuilder
             .optimizeToursSettings()
             .getRetrySettings()
             .toBuilder()
             .setTotalTimeout(Duration.ofSeconds(30))
             .build());
 FleetRoutingSettings fleetRoutingSettings = fleetRoutingSettingsBuilder.build();

FleetRoutingSettings.Builder

Builder for FleetRoutingSettings.

GcsDestination

The Google Cloud Storage location where the output file will be written to.

Protobuf type google.cloud.optimization.v1.GcsDestination

GcsDestination.Builder

The Google Cloud Storage location where the output file will be written to.

Protobuf type google.cloud.optimization.v1.GcsDestination

GcsSource

The Google Cloud Storage location where the input file will be read from.

Protobuf type google.cloud.optimization.v1.GcsSource

GcsSource.Builder

The Google Cloud Storage location where the input file will be read from.

Protobuf type google.cloud.optimization.v1.GcsSource

InjectedSolutionConstraint

Solution injected in the request including information about which visits must be constrained and how they must be constrained.

Protobuf type google.cloud.optimization.v1.InjectedSolutionConstraint

InjectedSolutionConstraint.Builder

Solution injected in the request including information about which visits must be constrained and how they must be constrained.

Protobuf type google.cloud.optimization.v1.InjectedSolutionConstraint

InjectedSolutionConstraint.ConstraintRelaxation

For a group of vehicles, specifies at what threshold(s) constraints on visits will be relaxed and to which level. Shipments listed in the skipped_shipment field are constrained to be skipped; i.e., they cannot be performed.

Protobuf type google.cloud.optimization.v1.InjectedSolutionConstraint.ConstraintRelaxation

InjectedSolutionConstraint.ConstraintRelaxation.Builder

For a group of vehicles, specifies at what threshold(s) constraints on visits will be relaxed and to which level. Shipments listed in the skipped_shipment field are constrained to be skipped; i.e., they cannot be performed.

Protobuf type google.cloud.optimization.v1.InjectedSolutionConstraint.ConstraintRelaxation

InjectedSolutionConstraint.ConstraintRelaxation.Relaxation

If relaxations is empty, the start time and sequence of all visits on routes are fully constrained and no new visits may be inserted or added to those routes. Also, a vehicle's start and end time in routes is fully constrained, unless the vehicle is empty (i.e., has no visits and has used_if_route_is_empty set to false in the model). relaxations(i).level specifies the constraint relaxation level applied to a visit #j that satisfies:

  • route.visits(j).start_time >= relaxations(i).threshold_time AND
  • j + 1 >= relaxations(i).threshold_visit_count Similarly, the vehicle start is relaxed to relaxations(i).level if it satisfies:
  • vehicle_start_time >= relaxations(i).threshold_time AND
  • relaxations(i).threshold_visit_count == 0 and the vehicle end is relaxed to relaxations(i).level if it satisfies:
  • vehicle_end_time >= relaxations(i).threshold_time AND
  • route.visits_size() + 1 >= relaxations(i).threshold_visit_count To apply a relaxation level if a visit meets the threshold_visit_count OR the threshold_time add two relaxations with the same level: one with only threshold_visit_count set and the other with only threshold_time set. If a visit satisfies the conditions of multiple relaxations, the most relaxed level applies. As a result, from the vehicle start through the route visits in order to the vehicle end, the relaxation level becomes more relaxed: i.e., the relaxation level is non-decreasing as the route progresses. The timing and sequence of route visits that do not satisfy the threshold conditions of any relaxations are fully constrained and no visits may be inserted into these sequences. Also, if a vehicle start or end does not satisfy the conditions of any relaxation the time is fixed, unless the vehicle is empty.

Protobuf type google.cloud.optimization.v1.InjectedSolutionConstraint.ConstraintRelaxation.Relaxation

InjectedSolutionConstraint.ConstraintRelaxation.Relaxation.Builder

If relaxations is empty, the start time and sequence of all visits on routes are fully constrained and no new visits may be inserted or added to those routes. Also, a vehicle's start and end time in routes is fully constrained, unless the vehicle is empty (i.e., has no visits and has used_if_route_is_empty set to false in the model). relaxations(i).level specifies the constraint relaxation level applied to a visit #j that satisfies:

  • route.visits(j).start_time >= relaxations(i).threshold_time AND
  • j + 1 >= relaxations(i).threshold_visit_count Similarly, the vehicle start is relaxed to relaxations(i).level if it satisfies:
  • vehicle_start_time >= relaxations(i).threshold_time AND
  • relaxations(i).threshold_visit_count == 0 and the vehicle end is relaxed to relaxations(i).level if it satisfies:
  • vehicle_end_time >= relaxations(i).threshold_time AND
  • route.visits_size() + 1 >= relaxations(i).threshold_visit_count To apply a relaxation level if a visit meets the threshold_visit_count OR the threshold_time add two relaxations with the same level: one with only threshold_visit_count set and the other with only threshold_time set. If a visit satisfies the conditions of multiple relaxations, the most relaxed level applies. As a result, from the vehicle start through the route visits in order to the vehicle end, the relaxation level becomes more relaxed: i.e., the relaxation level is non-decreasing as the route progresses. The timing and sequence of route visits that do not satisfy the threshold conditions of any relaxations are fully constrained and no visits may be inserted into these sequences. Also, if a vehicle start or end does not satisfy the conditions of any relaxation the time is fixed, unless the vehicle is empty.

Protobuf type google.cloud.optimization.v1.InjectedSolutionConstraint.ConstraintRelaxation.Relaxation

InputConfig

The desired input location information.

Protobuf type google.cloud.optimization.v1.InputConfig

InputConfig.Builder

The desired input location information.

Protobuf type google.cloud.optimization.v1.InputConfig

Location

Encapsulates a location (a geographic point, and an optional heading).

Protobuf type google.cloud.optimization.v1.Location

Location.Builder

Encapsulates a location (a geographic point, and an optional heading).

Protobuf type google.cloud.optimization.v1.Location

OptimizeToursRequest

Request to be given to a tour optimization solver which defines the shipment model to solve as well as optimization parameters.

Protobuf type google.cloud.optimization.v1.OptimizeToursRequest

OptimizeToursRequest.Builder

Request to be given to a tour optimization solver which defines the shipment model to solve as well as optimization parameters.

Protobuf type google.cloud.optimization.v1.OptimizeToursRequest

OptimizeToursResponse

Response after solving a tour optimization problem containing the routes followed by each vehicle, the shipments which have been skipped and the overall cost of the solution.

Protobuf type google.cloud.optimization.v1.OptimizeToursResponse

OptimizeToursResponse.Builder

Response after solving a tour optimization problem containing the routes followed by each vehicle, the shipments which have been skipped and the overall cost of the solution.

Protobuf type google.cloud.optimization.v1.OptimizeToursResponse

OptimizeToursResponse.Metrics

Overall metrics, aggregated over all routes.

Protobuf type google.cloud.optimization.v1.OptimizeToursResponse.Metrics

OptimizeToursResponse.Metrics.Builder

Overall metrics, aggregated over all routes.

Protobuf type google.cloud.optimization.v1.OptimizeToursResponse.Metrics

OptimizeToursValidationError

Describes an error encountered when validating an OptimizeToursRequest.

Protobuf type google.cloud.optimization.v1.OptimizeToursValidationError

OptimizeToursValidationError.Builder

Describes an error encountered when validating an OptimizeToursRequest.

Protobuf type google.cloud.optimization.v1.OptimizeToursValidationError

OptimizeToursValidationError.FieldReference

Specifies a context for the validation error. A FieldReference always refers to a given field in this file and follows the same hierarchical structure. For example, we may specify element #2 of start_time_windows of vehicle #5 using: <code><code> name: "vehicles" index: 5 sub_field { name: "end_time_windows" index: 2 } </code></code><code> We however omit top-level entities such as </code>OptimizeToursRequest<code> or </code>ShipmentModel to avoid crowding the message.

Protobuf type google.cloud.optimization.v1.OptimizeToursValidationError.FieldReference

OptimizeToursValidationError.FieldReference.Builder

Specifies a context for the validation error. A FieldReference always refers to a given field in this file and follows the same hierarchical structure. For example, we may specify element #2 of start_time_windows of vehicle #5 using: <code><code> name: "vehicles" index: 5 sub_field { name: "end_time_windows" index: 2 } </code></code><code> We however omit top-level entities such as </code>OptimizeToursRequest<code> or </code>ShipmentModel to avoid crowding the message.

Protobuf type google.cloud.optimization.v1.OptimizeToursValidationError.FieldReference

OutputConfig

The desired output location.

Protobuf type google.cloud.optimization.v1.OutputConfig

OutputConfig.Builder

The desired output location.

Protobuf type google.cloud.optimization.v1.OutputConfig

Shipment

The shipment of a single item, from one of its pickups to one of its deliveries. For the shipment to be considered as performed, a unique vehicle must visit one of its pickup locations (and decrease its spare capacities accordingly), then visit one of its delivery locations later on (and therefore re-increase its spare capacities accordingly).

Protobuf type google.cloud.optimization.v1.Shipment

Shipment.Builder

The shipment of a single item, from one of its pickups to one of its deliveries. For the shipment to be considered as performed, a unique vehicle must visit one of its pickup locations (and decrease its spare capacities accordingly), then visit one of its delivery locations later on (and therefore re-increase its spare capacities accordingly).

Protobuf type google.cloud.optimization.v1.Shipment

Shipment.Load

When performing a visit, a predefined amount may be added to the vehicle load if it's a pickup, or subtracted if it's a delivery. This message defines such amount. See load_demands.

Protobuf type google.cloud.optimization.v1.Shipment.Load

Shipment.Load.Builder

When performing a visit, a predefined amount may be added to the vehicle load if it's a pickup, or subtracted if it's a delivery. This message defines such amount. See load_demands.

Protobuf type google.cloud.optimization.v1.Shipment.Load

Shipment.VisitRequest

Request for a visit which can be done by a vehicle: it has a geo-location (or two, see below), opening and closing times represented by time windows, and a service duration time (time spent by the vehicle once it has arrived to pickup or drop off goods).

Protobuf type google.cloud.optimization.v1.Shipment.VisitRequest

Shipment.VisitRequest.Builder

Request for a visit which can be done by a vehicle: it has a geo-location (or two, see below), opening and closing times represented by time windows, and a service duration time (time spent by the vehicle once it has arrived to pickup or drop off goods).

Protobuf type google.cloud.optimization.v1.Shipment.VisitRequest

ShipmentModel

A shipment model contains a set of shipments which must be performed by a set of vehicles, while minimizing the overall cost, which is the sum of:

  • the cost of routing the vehicles (sum of cost per total time, cost per travel time, and fixed cost over all vehicles).
  • the unperformed shipment penalties.
  • the cost of the global duration of the shipments

Protobuf type google.cloud.optimization.v1.ShipmentModel

ShipmentModel.BreakRule

Deprecated: Use top level BreakRule instead. Rules to generate time breaks for a vehicle (e.g. lunch breaks). A break is a contiguous period of time during which the vehicle remains idle at its current position and cannot perform any visit. A break may occur:

  • during the travel between two visits (which includes the time right before or right after a visit, but not in the middle of a visit), in which case it extends the corresponding transit time between the visits
  • before the vehicle start (the vehicle may not start in the middle of a break), in which case it does not affect the vehicle start time.
  • after the vehicle end (ditto, with the vehicle end time).

Protobuf type google.cloud.optimization.v1.ShipmentModel.BreakRule

ShipmentModel.BreakRule.BreakRequest

The sequence of breaks (i.e. their number and order) that apply to each vehicle must be known beforehand. The repeated BreakRequests define that sequence, in the order in which they must occur. Their time windows (earliest_start_time / latest_start_time) may overlap, but they must be compatible with the order (this is checked).

Protobuf type google.cloud.optimization.v1.ShipmentModel.BreakRule.BreakRequest

ShipmentModel.BreakRule.BreakRequest.Builder

The sequence of breaks (i.e. their number and order) that apply to each vehicle must be known beforehand. The repeated BreakRequests define that sequence, in the order in which they must occur. Their time windows (earliest_start_time / latest_start_time) may overlap, but they must be compatible with the order (this is checked).

Protobuf type google.cloud.optimization.v1.ShipmentModel.BreakRule.BreakRequest

ShipmentModel.BreakRule.Builder

Deprecated: Use top level BreakRule instead. Rules to generate time breaks for a vehicle (e.g. lunch breaks). A break is a contiguous period of time during which the vehicle remains idle at its current position and cannot perform any visit. A break may occur:

  • during the travel between two visits (which includes the time right before or right after a visit, but not in the middle of a visit), in which case it extends the corresponding transit time between the visits
  • before the vehicle start (the vehicle may not start in the middle of a break), in which case it does not affect the vehicle start time.
  • after the vehicle end (ditto, with the vehicle end time).

Protobuf type google.cloud.optimization.v1.ShipmentModel.BreakRule

ShipmentModel.BreakRule.FrequencyConstraint

One may further constrain the frequency and duration of the breaks specified above, by enforcing a minimum break frequency, such as "There must be a break of at least 1 hour every 12 hours". Assuming that this can be interpreted as "Within any sliding time window of 12h, there must be at least one break of at least one hour", that example would translate to the following FrequencyConstraint: <code><code> { min_break_duration { seconds: 3600 } # 1 hour. max_inter_break_duration { seconds: 39600 } # 11 hours (12 - 1 = 11). } </code></code><code> The timing and duration of the breaks in the solution will respect all such constraints, in addition to the time windows and minimum durations already specified in the </code>BreakRequest<code>. A </code>FrequencyConstraint<code> may in practice apply to non-consecutive breaks. For example, the following schedule honors the "1h every 12h" example: </code><code><code> 04:00 vehicle start .. performing travel and visits .. 09:00 1 hour break 10:00 end of the break .. performing travel and visits .. 12:00 20-min lunch break 12:20 end of the break .. performing travel and visits .. 21:00 1 hour break 22:00 end of the break .. performing travel and visits .. 23:59 vehicle end </code></code>

Protobuf type google.cloud.optimization.v1.ShipmentModel.BreakRule.FrequencyConstraint

ShipmentModel.BreakRule.FrequencyConstraint.Builder

One may further constrain the frequency and duration of the breaks specified above, by enforcing a minimum break frequency, such as "There must be a break of at least 1 hour every 12 hours". Assuming that this can be interpreted as "Within any sliding time window of 12h, there must be at least one break of at least one hour", that example would translate to the following FrequencyConstraint: <code><code> { min_break_duration { seconds: 3600 } # 1 hour. max_inter_break_duration { seconds: 39600 } # 11 hours (12 - 1 = 11). } </code></code><code> The timing and duration of the breaks in the solution will respect all such constraints, in addition to the time windows and minimum durations already specified in the </code>BreakRequest<code>. A </code>FrequencyConstraint<code> may in practice apply to non-consecutive breaks. For example, the following schedule honors the "1h every 12h" example: </code><code><code> 04:00 vehicle start .. performing travel and visits .. 09:00 1 hour break 10:00 end of the break .. performing travel and visits .. 12:00 20-min lunch break 12:20 end of the break .. performing travel and visits .. 21:00 1 hour break 22:00 end of the break .. performing travel and visits .. 23:59 vehicle end </code></code>

Protobuf type google.cloud.optimization.v1.ShipmentModel.BreakRule.FrequencyConstraint

ShipmentModel.Builder

A shipment model contains a set of shipments which must be performed by a set of vehicles, while minimizing the overall cost, which is the sum of:

  • the cost of routing the vehicles (sum of cost per total time, cost per travel time, and fixed cost over all vehicles).
  • the unperformed shipment penalties.
  • the cost of the global duration of the shipments

Protobuf type google.cloud.optimization.v1.ShipmentModel

ShipmentModel.DurationDistanceMatrix

Specifies a duration and distance matrix from visit and vehicle start locations to visit and vehicle end locations.

Protobuf type google.cloud.optimization.v1.ShipmentModel.DurationDistanceMatrix

ShipmentModel.DurationDistanceMatrix.Builder

Specifies a duration and distance matrix from visit and vehicle start locations to visit and vehicle end locations.

Protobuf type google.cloud.optimization.v1.ShipmentModel.DurationDistanceMatrix

ShipmentModel.DurationDistanceMatrix.Row

Specifies a row of the duration and distance matrix.

Protobuf type google.cloud.optimization.v1.ShipmentModel.DurationDistanceMatrix.Row

ShipmentModel.DurationDistanceMatrix.Row.Builder

Specifies a row of the duration and distance matrix.

Protobuf type google.cloud.optimization.v1.ShipmentModel.DurationDistanceMatrix.Row

ShipmentModel.PrecedenceRule

A precedence rule between two events (each event is the pickup or the delivery of a shipment): the "second" event has to start at least offset_duration after "first" has started. Several precedences can refer to the same (or related) events, e.g., "pickup of B happens after delivery of A" and "pickup of C happens after pickup of B". Furthermore, precedences only apply when both shipments are performed and are otherwise ignored.

Protobuf type google.cloud.optimization.v1.ShipmentModel.PrecedenceRule

ShipmentModel.PrecedenceRule.Builder

A precedence rule between two events (each event is the pickup or the delivery of a shipment): the "second" event has to start at least offset_duration after "first" has started. Several precedences can refer to the same (or related) events, e.g., "pickup of B happens after delivery of A" and "pickup of C happens after pickup of B". Furthermore, precedences only apply when both shipments are performed and are otherwise ignored.

Protobuf type google.cloud.optimization.v1.ShipmentModel.PrecedenceRule

ShipmentRoute

A vehicle's route can be decomposed, along the time axis, like this (we assume there are n visits): ` | | | | | T[2], | | | | Transition | Visit #0 | | | V[2], | | | | #0 | aka | T[1] | V[1] | ... | V[n-1] | T[n] | | aka T[0] | V[0] | | | V[n-2],| | | | | | | | T[n-1] | | | ^ ^ ^ ^ ^ ^ ^ ^ vehicle V[0].start V[0].end V[1]. V[1]. V[n]. V[n]. vehicle start (arrival) (departure) start end start end end Note that we make a difference between:

  • "punctual events", such as the vehicle start and end and each visit's start and end (aka arrival and departure). They happen at a given second.
  • "time intervals", such as the visits themselves, and the transition between visits. Though time intervals can sometimes have zero duration, i.e. start and end at the same second, they often have a positive duration. Invariants:
  • If there are n visits, there are n+1 transitions.
  • A visit is always surrounded by a transition before it (same index) and a transition after it (index + 1).
  • The vehicle start is always followed by transition #0.
  • The vehicle end is always preceded by transition #n. Zooming in, here is what happens during a
Transition and a Visit: ---+-------------------------------------+-----------------------------+--> | TRANSITION[i] | VISIT[i] | | | | | * TRAVEL: the vehicle moves from | PERFORM the visit: | | VISIT[i-1].departure_location to | | | VISIT[i].arrival_location, which | * Spend some time: | | takes a given travel duration | the "visit duration". | | and distance | | | | * Load or unload | | * BREAKS: the driver may have | some quantities from the | | breaks (e.g. lunch break). | vehicle: the "demand". | | | | | * WAIT: the driver/vehicle does | | | nothing. This can happen for | | | many reasons, for example when | | | the vehicle reaches the next | | | event's destination before the | | | start of its time window | | | | | | * DELAY: right before the next | | | arrival. E.g. the vehicle and/or | | | driver spends time unloading. | | | | | ---+-------------------------------------+-----------------------------+--> ^ ^ ^ V[i-1].end V[i].start V[i].end Lastly, here is how the TRAVEL, BREAKS, DELAY and WAIT can be arranged during a transition.
  • They don't overlap.
  • The DELAY is unique and must be a contiguous period of time right before the next visit (or vehicle end). Thus, it suffice to know the delay duration to know its start and end time.
  • The BREAKS are contiguous, non-overlapping periods of time. The response specifies the start time and duration of each break.
  • TRAVEL and WAIT are "preemptable": they can be interrupted several times during this transition. Clients can assume that travel happens "as soon as possible" and that "wait" fills the remaining time. A (complex) example:
    • TRANSITION[i] --++-----+-----------------------------------------------------------++--> || | | | | | | || || T | B | T | | B | | D || || r | r | r | W | r | W | e || || a | e | a | a | e | a | l || || v | a | v | i | a | i | a || || e | k | e | t | k | t | y || || l | | l | | | | || || | | | | | | || --++-----------------------------------------------------------------++--> `

    Protobuf type google.cloud.optimization.v1.ShipmentRoute

    ShipmentRoute.Break

    Data representing the execution of a break.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Break

    ShipmentRoute.Break.Builder

    Data representing the execution of a break.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Break

    ShipmentRoute.Builder

    A vehicle's route can be decomposed, along the time axis, like this (we assume there are n visits): ` | | | | | T[2], | | | | Transition | Visit #0 | | | V[2], | | | | #0 | aka | T[1] | V[1] | ... | V[n-1] | T[n] | | aka T[0] | V[0] | | | V[n-2],| | | | | | | | T[n-1] | | | ^ ^ ^ ^ ^ ^ ^ ^ vehicle V[0].start V[0].end V[1]. V[1]. V[n]. V[n]. vehicle start (arrival) (departure) start end start end end Note that we make a difference between:

    • "punctual events", such as the vehicle start and end and each visit's start and end (aka arrival and departure). They happen at a given second.
    • "time intervals", such as the visits themselves, and the transition between visits. Though time intervals can sometimes have zero duration, i.e. start and end at the same second, they often have a positive duration. Invariants:
    • If there are n visits, there are n+1 transitions.
    • A visit is always surrounded by a transition before it (same index) and a transition after it (index + 1).
    • The vehicle start is always followed by transition #0.
    • The vehicle end is always preceded by transition #n. Zooming in, here is what happens during a
    Transition and a Visit: ---+-------------------------------------+-----------------------------+--> | TRANSITION[i] | VISIT[i] | | | | | * TRAVEL: the vehicle moves from | PERFORM the visit: | | VISIT[i-1].departure_location to | | | VISIT[i].arrival_location, which | * Spend some time: | | takes a given travel duration | the "visit duration". | | and distance | | | | * Load or unload | | * BREAKS: the driver may have | some quantities from the | | breaks (e.g. lunch break). | vehicle: the "demand". | | | | | * WAIT: the driver/vehicle does | | | nothing. This can happen for | | | many reasons, for example when | | | the vehicle reaches the next | | | event's destination before the | | | start of its time window | | | | | | * DELAY: right before the next | | | arrival. E.g. the vehicle and/or | | | driver spends time unloading. | | | | | ---+-------------------------------------+-----------------------------+--> ^ ^ ^ V[i-1].end V[i].start V[i].end Lastly, here is how the TRAVEL, BREAKS, DELAY and WAIT can be arranged during a transition.
  • They don't overlap.
  • The DELAY is unique and must be a contiguous period of time right before the next visit (or vehicle end). Thus, it suffice to know the delay duration to know its start and end time.
  • The BREAKS are contiguous, non-overlapping periods of time. The response specifies the start time and duration of each break.
  • TRAVEL and WAIT are "preemptable": they can be interrupted several times during this transition. Clients can assume that travel happens "as soon as possible" and that "wait" fills the remaining time. A (complex) example:
    • TRANSITION[i] --++-----+-----------------------------------------------------------++--> || | | | | | | || || T | B | T | | B | | D || || r | r | r | W | r | W | e || || a | e | a | a | e | a | l || || v | a | v | i | a | i | a || || e | k | e | t | k | t | y || || l | | l | | | | || || | | | | | | || --++-----------------------------------------------------------------++--> `

    Protobuf type google.cloud.optimization.v1.ShipmentRoute

    ShipmentRoute.Delay

    Deprecated: Use ShipmentRoute.Transition.delay_duration instead. Time interval spent on the route resulting from a TransitionAttributes.delay.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Delay

    ShipmentRoute.Delay.Builder

    Deprecated: Use ShipmentRoute.Transition.delay_duration instead. Time interval spent on the route resulting from a TransitionAttributes.delay.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Delay

    ShipmentRoute.EncodedPolyline

    The encoded representation of a polyline. More information on polyline encoding can be found here: https://developers.google.com/maps/documentation/utilities/polylinealgorithm https://developers.google.com/maps/documentation/javascript/reference/geometry#encoding.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.EncodedPolyline

    ShipmentRoute.EncodedPolyline.Builder

    The encoded representation of a polyline. More information on polyline encoding can be found here: https://developers.google.com/maps/documentation/utilities/polylinealgorithm https://developers.google.com/maps/documentation/javascript/reference/geometry#encoding.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.EncodedPolyline

    ShipmentRoute.Transition

    Transition between two events on the route. See the description of ShipmentRoute. If the vehicle does not have a start_location and/or end_location, the corresponding travel metrics are 0.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Transition

    ShipmentRoute.Transition.Builder

    Transition between two events on the route. See the description of ShipmentRoute. If the vehicle does not have a start_location and/or end_location, the corresponding travel metrics are 0.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Transition

    ShipmentRoute.TravelStep

    Deprecated: Use ShipmentRoute.Transition instead. Travel between each visit along the route: from the vehicle's start_location to the first visit's arrival_location, then from the first visit's departure_location to the second visit's arrival_location, and so on until the vehicle's end_location. This accounts only for the actual travel between visits, not counting the waiting time, the time spent performing a visit, nor the distance covered during a visit. Invariant: travel_steps_size() == visits_size() + 1. If the vehicle does not have a start_ and/or end_location, the corresponding travel metrics are 0 and/or empty.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.TravelStep

    ShipmentRoute.TravelStep.Builder

    Deprecated: Use ShipmentRoute.Transition instead. Travel between each visit along the route: from the vehicle's start_location to the first visit's arrival_location, then from the first visit's departure_location to the second visit's arrival_location, and so on until the vehicle's end_location. This accounts only for the actual travel between visits, not counting the waiting time, the time spent performing a visit, nor the distance covered during a visit. Invariant: travel_steps_size() == visits_size() + 1. If the vehicle does not have a start_ and/or end_location, the corresponding travel metrics are 0 and/or empty.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.TravelStep

    ShipmentRoute.VehicleLoad

    Reports the actual load of the vehicle at some point along the route, for a given type (see Transition.vehicle_loads).

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.VehicleLoad

    ShipmentRoute.VehicleLoad.Builder

    Reports the actual load of the vehicle at some point along the route, for a given type (see Transition.vehicle_loads).

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.VehicleLoad

    ShipmentRoute.Visit

    A visit performed during a route. This visit corresponds to a pickup or a delivery of a Shipment.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Visit

    ShipmentRoute.Visit.Builder

    A visit performed during a route. This visit corresponds to a pickup or a delivery of a Shipment.

    Protobuf type google.cloud.optimization.v1.ShipmentRoute.Visit

    ShipmentTypeIncompatibility

    Specifies incompatibilties between shipments depending on their shipment_type. The appearance of incompatible shipments on the same route is restricted based on the incompatibility mode.

    Protobuf type google.cloud.optimization.v1.ShipmentTypeIncompatibility

    ShipmentTypeIncompatibility.Builder

    Specifies incompatibilties between shipments depending on their shipment_type. The appearance of incompatible shipments on the same route is restricted based on the incompatibility mode.

    Protobuf type google.cloud.optimization.v1.ShipmentTypeIncompatibility

    ShipmentTypeRequirement

    Specifies requirements between shipments based on their shipment_type. The specifics of the requirement are defined by the requirement mode.

    Protobuf type google.cloud.optimization.v1.ShipmentTypeRequirement

    ShipmentTypeRequirement.Builder

    Specifies requirements between shipments based on their shipment_type. The specifics of the requirement are defined by the requirement mode.

    Protobuf type google.cloud.optimization.v1.ShipmentTypeRequirement

    SkippedShipment

    Specifies details of unperformed shipments in a solution. For trivial cases and/or if we are able to identify the cause for skipping, we report the reason here.

    Protobuf type google.cloud.optimization.v1.SkippedShipment

    SkippedShipment.Builder

    Specifies details of unperformed shipments in a solution. For trivial cases and/or if we are able to identify the cause for skipping, we report the reason here.

    Protobuf type google.cloud.optimization.v1.SkippedShipment

    SkippedShipment.Reason

    If we can explain why the shipment was skipped, reasons will be listed here. If the reason is not the same for all vehicles, reason will have more than 1 element. A skipped shipment cannot have duplicate reasons, i.e. where all fields are the same except for example_vehicle_index. Example: <code><code> reasons { code: DEMAND_EXCEEDS_VEHICLE_CAPACITY example_vehicle_index: 1 example_exceeded_capacity_type: "Apples" } reasons { code: DEMAND_EXCEEDS_VEHICLE_CAPACITY example_vehicle_index: 3 example_exceeded_capacity_type: "Pears" } reasons { code: CANNOT_BE_PERFORMED_WITHIN_VEHICLE_DISTANCE_LIMIT example_vehicle_index: 1 } </code></code> The skipped shipment is incompatible with all vehicles. The reasons may be different for all vehicles but at least one vehicle's "Apples" capacity would be exceeded (including vehicle 1), at least one vehicle's "Pears" capacity would be exceeded (including vehicle 3) and at least one vehicle's distance limit would be exceeded (including vehicle 1).

    Protobuf type google.cloud.optimization.v1.SkippedShipment.Reason

    SkippedShipment.Reason.Builder

    If we can explain why the shipment was skipped, reasons will be listed here. If the reason is not the same for all vehicles, reason will have more than 1 element. A skipped shipment cannot have duplicate reasons, i.e. where all fields are the same except for example_vehicle_index. Example: <code><code> reasons { code: DEMAND_EXCEEDS_VEHICLE_CAPACITY example_vehicle_index: 1 example_exceeded_capacity_type: "Apples" } reasons { code: DEMAND_EXCEEDS_VEHICLE_CAPACITY example_vehicle_index: 3 example_exceeded_capacity_type: "Pears" } reasons { code: CANNOT_BE_PERFORMED_WITHIN_VEHICLE_DISTANCE_LIMIT example_vehicle_index: 1 } </code></code> The skipped shipment is incompatible with all vehicles. The reasons may be different for all vehicles but at least one vehicle's "Apples" capacity would be exceeded (including vehicle 1), at least one vehicle's "Pears" capacity would be exceeded (including vehicle 3) and at least one vehicle's distance limit would be exceeded (including vehicle 1).

    Protobuf type google.cloud.optimization.v1.SkippedShipment.Reason

    TimeWindow

    Time windows constrain the time of an event, such as the arrival time at a visit, or the start and end time of a vehicle. Hard time window bounds, start_time and end_time, enforce the earliest and latest time of the event, such that start_time <= event_time <= end_time. The soft time window lower bound, soft_start_time, expresses a preference for the event to happen at or after soft_start_time by incurring a cost proportional to how long before soft_start_time the event occurs. The soft time window upper bound, soft_end_time, expresses a preference for the event to happen at or before soft_end_time by incurring a cost proportional to how long after soft_end_time the event occurs. start_time, end_time, soft_start_time and soft_end_time should be within the global time limits (see ShipmentModel.global_start_time and ShipmentModel.global_end_time) and should respect: <code><code> 0 &lt;= </code>start_time<code> &lt;= </code>soft_start_time<code> &lt;= </code>end_time<code> and 0 &lt;= </code>start_time<code> &lt;= </code>soft_end_time<code> &lt;= </code>end_time<code>. </code></code>

    Protobuf type google.cloud.optimization.v1.TimeWindow

    TimeWindow.Builder

    Time windows constrain the time of an event, such as the arrival time at a visit, or the start and end time of a vehicle. Hard time window bounds, start_time and end_time, enforce the earliest and latest time of the event, such that start_time <= event_time <= end_time. The soft time window lower bound, soft_start_time, expresses a preference for the event to happen at or after soft_start_time by incurring a cost proportional to how long before soft_start_time the event occurs. The soft time window upper bound, soft_end_time, expresses a preference for the event to happen at or before soft_end_time by incurring a cost proportional to how long after soft_end_time the event occurs. start_time, end_time, soft_start_time and soft_end_time should be within the global time limits (see ShipmentModel.global_start_time and ShipmentModel.global_end_time) and should respect: <code><code> 0 &lt;= </code>start_time<code> &lt;= </code>soft_start_time<code> &lt;= </code>end_time<code> and 0 &lt;= </code>start_time<code> &lt;= </code>soft_end_time<code> &lt;= </code>end_time<code>. </code></code>

    Protobuf type google.cloud.optimization.v1.TimeWindow

    TransitionAttributes

    Specifies attributes of transitions between two consecutive visits on a route. Several TransitionAttributes may apply to the same transition: in that case, all extra costs add up and the strictest constraint or limit applies (following natural "AND" semantics).

    Protobuf type google.cloud.optimization.v1.TransitionAttributes

    TransitionAttributes.Builder

    Specifies attributes of transitions between two consecutive visits on a route. Several TransitionAttributes may apply to the same transition: in that case, all extra costs add up and the strictest constraint or limit applies (following natural "AND" semantics).

    Protobuf type google.cloud.optimization.v1.TransitionAttributes

    Vehicle

    Models a vehicle in a shipment problem. Solving a shipment problem will build a route starting from start_location and ending at end_location for this vehicle. A route is a sequence of visits (see ShipmentRoute).

    Protobuf type google.cloud.optimization.v1.Vehicle

    Vehicle.Builder

    Models a vehicle in a shipment problem. Solving a shipment problem will build a route starting from start_location and ending at end_location for this vehicle. A route is a sequence of visits (see ShipmentRoute).

    Protobuf type google.cloud.optimization.v1.Vehicle

    Vehicle.DurationLimit

    A limit defining a maximum duration of the route of a vehicle. It can be either hard or soft. When a soft limit field is defined, both the soft max threshold and its associated cost must be defined together.

    Protobuf type google.cloud.optimization.v1.Vehicle.DurationLimit

    Vehicle.DurationLimit.Builder

    A limit defining a maximum duration of the route of a vehicle. It can be either hard or soft. When a soft limit field is defined, both the soft max threshold and its associated cost must be defined together.

    Protobuf type google.cloud.optimization.v1.Vehicle.DurationLimit

    Vehicle.LoadLimit

    Defines a load limit applying to a vehicle, e.g. "this truck may only carry up to 3500 kg". See load_limits.

    Protobuf type google.cloud.optimization.v1.Vehicle.LoadLimit

    Vehicle.LoadLimit.Builder

    Defines a load limit applying to a vehicle, e.g. "this truck may only carry up to 3500 kg". See load_limits.

    Protobuf type google.cloud.optimization.v1.Vehicle.LoadLimit

    Vehicle.LoadLimit.Interval

    Interval of acceptable load amounts.

    Protobuf type google.cloud.optimization.v1.Vehicle.LoadLimit.Interval

    Vehicle.LoadLimit.Interval.Builder

    Interval of acceptable load amounts.

    Protobuf type google.cloud.optimization.v1.Vehicle.LoadLimit.Interval

    Waypoint

    Encapsulates a waypoint. Waypoints mark arrival and departure locations of VisitRequests, and start and end locations of Vehicles.

    Protobuf type google.cloud.optimization.v1.Waypoint

    Waypoint.Builder

    Encapsulates a waypoint. Waypoints mark arrival and departure locations of VisitRequests, and start and end locations of Vehicles.

    Protobuf type google.cloud.optimization.v1.Waypoint

    Interfaces

    AggregatedMetricsOrBuilder

    AsyncModelMetadataOrBuilder

    BatchOptimizeToursRequest.AsyncModelConfigOrBuilder

    BatchOptimizeToursRequestOrBuilder

    BatchOptimizeToursResponseOrBuilder

    BreakRule.BreakRequestOrBuilder

    BreakRule.FrequencyConstraintOrBuilder

    BreakRuleOrBuilder

    CapacityQuantityIntervalOrBuilder

    CapacityQuantityOrBuilder

    DistanceLimitOrBuilder

    GcsDestinationOrBuilder

    GcsSourceOrBuilder

    InjectedSolutionConstraint.ConstraintRelaxation.RelaxationOrBuilder

    InjectedSolutionConstraint.ConstraintRelaxationOrBuilder

    InjectedSolutionConstraintOrBuilder

    InputConfigOrBuilder

    LocationOrBuilder

    OptimizeToursRequestOrBuilder

    OptimizeToursResponse.MetricsOrBuilder

    OptimizeToursResponseOrBuilder

    OptimizeToursValidationError.FieldReferenceOrBuilder

    OptimizeToursValidationErrorOrBuilder

    OutputConfigOrBuilder

    Shipment.LoadOrBuilder

    Shipment.VisitRequestOrBuilder

    ShipmentModel.BreakRule.BreakRequestOrBuilder

    ShipmentModel.BreakRule.FrequencyConstraintOrBuilder

    ShipmentModel.BreakRuleOrBuilder

    ShipmentModel.DurationDistanceMatrix.RowOrBuilder

    ShipmentModel.DurationDistanceMatrixOrBuilder

    ShipmentModel.PrecedenceRuleOrBuilder

    ShipmentModelOrBuilder

    ShipmentOrBuilder

    ShipmentRoute.BreakOrBuilder

    ShipmentRoute.DelayOrBuilder

    ShipmentRoute.EncodedPolylineOrBuilder

    ShipmentRoute.TransitionOrBuilder

    ShipmentRoute.TravelStepOrBuilder

    ShipmentRoute.VehicleLoadOrBuilder

    ShipmentRoute.VisitOrBuilder

    ShipmentRouteOrBuilder

    ShipmentTypeIncompatibilityOrBuilder

    ShipmentTypeRequirementOrBuilder

    SkippedShipment.ReasonOrBuilder

    SkippedShipmentOrBuilder

    TimeWindowOrBuilder

    TransitionAttributesOrBuilder

    Vehicle.DurationLimitOrBuilder

    Vehicle.LoadLimit.IntervalOrBuilder

    Vehicle.LoadLimitOrBuilder

    VehicleOrBuilder

    WaypointOrBuilder

    Enums

    AsyncModelMetadata.State

    Possible states of the operation.

    Protobuf enum google.cloud.optimization.v1.AsyncModelMetadata.State

    DataFormat

    Data formats for input and output files.

    Protobuf enum google.cloud.optimization.v1.DataFormat

    InjectedSolutionConstraint.ConstraintRelaxation.Relaxation.Level

    Expresses the different constraint relaxation levels, which are applied for a visit and those that follow when it satisfies the threshold conditions. The enumeration below is in order of increasing relaxation.

    Protobuf enum google.cloud.optimization.v1.InjectedSolutionConstraint.ConstraintRelaxation.Relaxation.Level

    InputConfig.SourceCase

    OptimizeToursRequest.SearchMode

    Mode defining the behavior of the search, trading off latency versus solution quality. In all modes, the global request deadline is enforced.

    Protobuf enum google.cloud.optimization.v1.OptimizeToursRequest.SearchMode

    OptimizeToursRequest.SolvingMode

    Defines how the solver should handle the request. In all modes but VALIDATE_ONLY, if the request is invalid, you will receive an INVALID_REQUEST error. See max_validation_errors to cap the number of errors returned.

    Protobuf enum google.cloud.optimization.v1.OptimizeToursRequest.SolvingMode

    OptimizeToursValidationError.FieldReference.IndexOrKeyCase

    OutputConfig.DestinationCase

    ShipmentTypeIncompatibility.IncompatibilityMode

    Modes defining how the appearance of incompatible shipments are restricted on the same route.

    Protobuf enum google.cloud.optimization.v1.ShipmentTypeIncompatibility.IncompatibilityMode

    ShipmentTypeRequirement.RequirementMode

    Modes defining the appearance of dependent shipments on a route.

    Protobuf enum google.cloud.optimization.v1.ShipmentTypeRequirement.RequirementMode

    SkippedShipment.Reason.Code

    Code identifying the reason type. The order here is meaningless. In particular, it gives no indication of whether a given reason will appear before another in the solution, if both apply.

    Protobuf enum google.cloud.optimization.v1.SkippedShipment.Reason.Code

    Vehicle.TravelMode

    Travel modes which can be used by vehicles. These should be a subset of the Google Maps Platform Routes Preferred API travel modes, see: https://developers.google.com/maps/documentation/routes_preferred/reference/rest/Shared.Types/RouteTravelMode.

    Protobuf enum google.cloud.optimization.v1.Vehicle.TravelMode

    Vehicle.UnloadingPolicy

    Policy on how a vehicle can be unloaded. Applies only to shipments having both a pickup and a delivery. Other shipments are free to occur anywhere on the route independent of unloading_policy.

    Protobuf enum google.cloud.optimization.v1.Vehicle.UnloadingPolicy

    Waypoint.LocationTypeCase